Municipal Pensacola Beach Sand Metagenome
Citation
MGnify (2019). Municipal Pensacola Beach Sand Metagenome. Sampling event dataset https://doi.org/10.15468/dvxd2d accessed via GBIF.org on 2024-12-13.Description
This study investigated the successional patterns of functional and taxonomic diversity for over one year after the Deepwater Horizon oil was deposited on Pensacola Beach sands (FL, USA), using metagenomic and 16S rRNA gene amplicon techniques.Sampling Description
Sampling
This study investigated the successional patterns of functional and taxonomic diversity for over one year after the Deepwater Horizon oil was deposited on Pensacola Beach sands (FL, USA), using metagenomic and 16S rRNA gene amplicon techniques.Method steps
- Pipeline used: https://www.ebi.ac.uk/metagenomics/pipelines/4.1
Taxonomic Coverages
Geographic Coverages
Bibliographic Citations
- Zhu C, Miller M, Marpaka S, Vaysberg P, Rühlemann MC, Wu G, Heinsen FA, Tempel M, Zhao L, Lieb W, Franke A, Bromberg Y. 2018. Functional sequencing read annotation for high precision microbiome analysis. Nucleic Acids Res vol. 46 - DOI:10.1093/nar/gkx1209
- Miller M, Zhu C, Bromberg Y. 2017. clubber: removing the bioinformatics bottleneck in big data analyses. J Integr Bioinform vol. 14 - DOI:10.1515/jib-2017-0020
- Eren AM, Esen ÖC, Quince C, Vineis JH, Morrison HG, Sogin ML, Delmont TO. 2015. Anvi'o: an advanced analysis and visualization platform for 'omics data. PeerJ vol. 3 - DOI:10.7717/peerj.1319
- Rodriguez-R LM, Overholt WA, Hagan C, Huettel M, Kostka JE, Konstantinidis KT. 2015. Microbial community successional patterns in beach sands impacted by the Deepwater Horizon oil spill. ISME J vol. 9 - DOI:10.1038/ismej.2015.5
Contacts
originatorGeorgia Institute of Technology
metadata author
Georgia Institute of Technology
administrative point of contact
Georgia Institute of Technology